Learning Python for Data Analysis and Visualization

  • Instructor: Daziy Millar
  • Lectures: 11
  • Quizzes: 3
  • Students: 0
  • Duration: 10 week

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  • Overview 0/2

    In this section we'll show you how this course has been structured and how to get the most out of it. We'll also show you how to solve the exercises and submit quizzes.

  • Basics 0/7

    In this section you'll learn some basic concepts of programming languages and how to use them. You'll also learn how to write clean code using different code editors and tools.

    • Lecture 2.1
      Working with Strings – Part 10
      40m
    • Lecture 2.2
      Working with Numbers – Part 10
      35m
    • Lecture 2.3
      Tuples, Sets, and Booleans – Part 10
      20m
    • Lecture 2.4
      Regular Expressions – Part 10
      20m
    • Lecture 2.5
      Version Control – Part 10
      30m
    • Quiz 2.1
      Function Exercises – Part 10
      3 Questions
    • Quiz 2.2
      Model Forms Exercise – Part 10
      3 Questions
  • Advanced 0/4

    In this section you'll learn some core concepts of Object Oriented Programming. You'll also learn how to structure the data, debug and handling exceptions.

    • Lecture 3.1
      17m
    • Lecture 3.2
      Control Flow – Part 10
      18m
    • Lecture 3.3
      Modules and Packages – Part 10
      13m
    • Quiz 3.1
      Templating Engine – Part 10
      3 Questions
  • Conclusion 0/1

    Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type.

    • Lecture 4.1
      Errors and Exceptions – Part 10
      45m
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Daziy Millar
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